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Applied Statistics Using SPSS, STATISTICA, MATLAB and R, PDF eBook

Applied Statistics Using SPSS, STATISTICA, MATLAB and R PDF

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Four years have passed since the first edition of this book.

During this time I have had the opportunity to apply it in classes obtaining feedback from students and inspiration for improvements.

I have also benefited from many comments by users of the book.

For the present second edition large parts of the book have undergone major revision, although the basic concept - concise but sufficiently rigorous mathematical treatment with emphasis on computer applications to real datasets -, has been retained.

The second edition improvements are as follows: * Inclusion of R as an application tool.

As a matter of fact, R is a free software product which has nowadays reached a high level of maturity and is being increasingly used by many people as a statistical analysis tool. * Chapter 3 has an added section on bootstrap estimation methods, which have gained a large popularity in practical applications. * A revised explanation and treatment of tree classifiers in Chapter 6 with the inclusion of the QUEST approach. * Several improvements of Chapter 7 (regression), namely: details concerning the meaning and computation of multiple and partial correlation coefficients, with examples; a more thorough treatment and exemplification of the ridge regression topic; more attention dedicated to model evaluation. * Inclusion in the book CD of additional MATLAB functions as well as a set of R functions. * Extra examples and exercises have been added in several chapters. * The bibliography has been revised and new references added.

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